The Challenge: Enabling AI Without Exposing Sensitive Financial Data
Financial institutions rely on AI and analytics for fraud detection, risk modeling, and strategic decision-making. However, strict privacy regulations like GDPR and CCPA make it difficult to access and use financial data.
To comply, teams often resort to:
🚧 Manual data masking that distorts data quality.
🚧 Complex approval processes that slow down innovation.
🚧 Restricted access that limits AI adoption and collaboration.
The result? Innovation bottlenecks, compliance risks, and teams waiting weeks—or even months—for usable data.
A Smarter Approach: Privacy-Safe Synthetic Data in Databricks
What if financial teams could work with data that looks, behaves, and performs just like real financial records—without privacy concerns?
With the open-source Synthetic Data SDK powered by MOSTLY AI, financial institutions can now generate high-quality, privacy-preserving synthetic data directly within the Databricks Data Intelligence Platform—ensuring compliance while unlocking fast, self-service access to data.
✅ Synthetic data retains key statistical patterns from real financial datasets.
✅ Seamless integration with Unity Catalog ensures governance and security.
✅ Unlocks AI-powered analytics without exposing sensitive financial records.
To make this even easier, we built a Databricks Solution Accelerator—a ready-to-use set of notebooks and data assets that allows teams to train a synthetic data generator and generate privacy-preserving financial data in minutes.
📌 Available now in the Databricks Marketplace, this accelerator enables financial institutions to:
🔹 Generate synthetic data with a fully no-code experience.
🔹 Store results directly in Unity Catalog for easy governance.
🔹 Instantly analyze synthetic data using AI & Databricks SQL.
Let’s take a look at what this unlocks.
AI-Powered Financial Insights with Synthetic Data
Before diving into the process, let’s look at the end result.
This Databricks SQL dashboard compares real vs. synthetic financial data. The trends are nearly identical, proving that synthetic data preserves the statistical integrity of real transactions—without compliance risks.
Now, let’s say I’m an analyst who needs to explore financial trends but doesn’t have access to the real data. Instead, I can use synthetic data to gain insights while maintaining privacy.
With Databricks AI/BI’s Genie, analysts can now ask natural language questions about synthetic financial data—without writing SQL. Here, we ask Genie:
"What are the top 3 months with the highest transaction volume by year?"
Genie instantly retrieves the answer, showing that teams can now:
✅ Explore financial trends just like they would with real data.
✅ Analyze AI-ready datasets without risk.
✅ Unlock insights instantly—without compliance concerns.
Now, let’s see how easy it is to generate synthetic financial data inside Databricks.
How It Works: Generating Synthetic Data in Just Two Steps
This Databricks Solution Accelerator enables teams to generate synthetic data in minutes, without writing code.
🔹 Click "Get Instant Access" to download the notebooks and preloaded financial data.
🔹 Clone the assets from Delta Share into your workspace.
🔹 Follow two simple steps to generate synthetic financial data.
Step 1: Train a Synthetic Data Generator
Training a synthetic data generator is fully no-code—users simply fill out the widgets:
✅ Select financial data from Unity Catalog (Accounts, Transactions, etc.).
✅ Define relationships to preserve primary & foreign key integrity.
✅ Store the generator in Unity Catalog for reuse.
Once training is complete:
✅ The synthetic data generator is stored in Unity Catalog.
✅ QA reports, which can be downloaded directly, validate the accuracy of the synthetic data.
Now, this generator can be used over and over again—eliminating the need for repeated data approvals and anonymization.
Step 2: Generate Synthetic Financial Data
Now that we have a trained generator, we can:
✅ Load it from Unity Catalog.
✅ Set the sample size and parameters.
✅ Write the synthetic data back into Unity Catalog.
The result?
✅ A fully privacy-preserving synthetic financial dataset.
✅ AI-ready data for fraud detection, risk modeling, and analytics.
✅ No need to expose real financial records—ever.
Seamless Integration with Databricks
This accelerator is built for native Databricks workflows, ensuring governance, security, and compliance at every step.
✅ Unity Catalog – Secure storage, access control, and lineage tracking.
✅ Databricks AI/BI (Genie) – Instant AI-powered exploration of synthetic data.
✅ Delta Sharing – Easily share synthetic datasets across teams.
No external tools. No manual anonymization. Just safe, scalable, AI-ready data—directly in Databricks.
Get Started Today
This open-source solution accelerator is available now in the Databricks Marketplace.
🔹 Click "Get Instant Access" to download the notebooks and preloaded financial data.
🔹 Train your own synthetic data generator in just minutes.
🔹 Unlock AI-powered insights—without exposing sensitive financial records.
📩 Want to scale synthetic data across your organization? Contact hello@mostly.ai to explore enterprise solutions.
